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Iris AI AS (Bærum, Norway)Iris.ai
Norwegian AI platform that searches, summarises and extracts data from scientific literature and in-house R&D documents, including for life sciences.

Shared spot5of 13 professional tools with a GDPR profileOur summary of what the provider itself publishes about your data: whether the data is held in the EU (2 points), whether there is a certification or GDPR guarantee (1) and whether the provider is established in the NL or the EU (1). 3 or 4 points is Strong, 2 Good, 1 Limited, 0 Unknown. How we measure in pharmaceutical industry
GDPR: Limited
- Provider based in the EU
Priceon request
Free trialNone foundNot found on the provider's site when checked on 3 November 2026
Based inBærum, NorwayEU
ModelNot publicnot public which models. Data stored with AWS in Ireland and Germany according to the privacy statement; data protection officer appointed.
Last checked: 3 November 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
RSpace: R&D documents, papers, patents
Filter document sets beyond keywords
Facts automatically in one structure
Automatically follow new publications
Axion: structuring PDFs, tables and imagesSchema templates per field
Output ready for RAG and AI agents
Neuralith: business knowledge as an AI engine
Comparable in pharmaceutical industry
Cradleon request (licence, no royal…
Biolevateon request
Castoron request
Aily Labson request
Causalyon request (enterprise, via demo)
Owkin K Proon requestIris.ai compared
Underlying model
GDPR check for pharmaceutical industry not public which models. Data stored with AWS in Ireland and Germany according to the privacy statement; data protection officer appointed. Many tools build on a large model from providers such as OpenAI or Anthropic. If in doubt, ask for the data processing agreement: it states where your data goes.
Questions about Iris.ai
- Which AI model does Iris.ai use?
- The maker of Iris.ai does not publish which AI model sits underneath. Which models. Data stored with AWS in Ireland and Germany according to the privacy statement; data protection officer appointed.
- How much does Iris.ai cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is Iris.ai for?
- Iris.ai is aimed at the pharmaceutical industry and research & science. It fits work such as finding and optimising targets, proteins and candidate molecules with AI models, and setting up clinical studies: recruiting patients, capturing source data and monitoring data quality, and drafting regulatory documents (protocols, CSRs, dossiers) with traceable sources.
- What should I look out for with AI in the pharmaceutical industry?
- This sector involves health data of trial participants and patients (special category personal data under Article 9 GDPR) and confidential research data. Ask every provider where the data is stored and whether it is used to train models: Castor hosts in the Netherlands (Google Cloud europe-west4) and does not share data or models between customers, Cradle states that source data never goes to third-party AI models, Iris.ai hosts on AWS in Ireland and Germany. Biolevate and Ennov also run in private cloud or on-premises. With Veeva Vault AI and Yseop, texts go to Anthropic models via Amazon Bedrock; check the region and the data processing agreement. If you work in GxP processes, an AI tool must also be validated (EU GMP Annex 11) and a competent employee remains responsible. For AI in medicines development, the EMA has a reflection paper (2024) and is working with the FDA on joint principles.
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